PhD (incl. visiting PhD) students supervision / co-supervision

• Jerin Johny (e/MTIC PROMETHEUS: TU/e EE, Catharina Hospital, Philips, 2025-2029)

• Jesse Delbressine (ADVANCE FORSEE: TU/e EE, Catharina Hospital, Philips, 2025-2029)

• Abhirup Bhattacharya (e/MTIC MIRACLE: TU/e EE, Kempenhaeghe, Philips, 2025-2029)

• Sonja Babac (EU-ITEA RM4Health: TU/e EE, Catharina Hospital, Philips, 2023-2027)

• Giulio Basso (e/MTIC MEDEIA: TU/e EE, Catharina Hospital, Philips, 2023-2027)

• Gerben Hup (TKI-LSH BECA & Dutch Heart Foundation: TU/e EE, Catharina Hospital, Philips, 2022-2026)

• Roel Montree (e/MTIC MEDUSA: TU/e EE, Catharina Hospital, Philips, 2021-2025)

• Gabriela Gronska (TU/e EE, Kempenhaeghe, 2022-2026)

• Pierre-Emmanuel Simon (TU/e EE, 2022-2026)

• Songlu Lin (Visiting PhD: TU/e EE, Jilin University, 2023-2025)

• Chenyan Huang (e/MTIC PICASSO: TU/e M&CS, Máxima MC, Philips, 2021-2025)

• Yanqi Wu (CSC: TU/e EE, Philips, Máxima MC, Kempenhaeghe, 2020-2025)

Former PhDs supervision / co-supervision

• Jiali Xie (IWT/STW OSA+ & e/MTIC MEDUSA: TU/e EE, Philips, Kempenhaeghe, 2019-2025)
  PhD Thesis: Assessment of obstructive sleep disordered breathing using cardiorespiratory and audio signals (advisor)

• Dandan Zhang (CSC: TU/e EE, Philips Research, 2018-2024)
  PhD Thesis: Towards unobtrusive sleep monitoring of preterm infants (promotor)

• Zheng Peng (e/MTIC PICASSO: TU/e AP & EE, Máxima MC, Philips Research, 2020-2024)
  PhD Thesis: Motion matters: An exploration of movement monitoring in enhancing neonatal care (promotor)

• Meicheng Yang (CSC visiting PhD: TU/e EE 2022-2024, Southeast University, 2020-2024)

• Caiyun Ma (CSC visiting PhD: TU/e EE 2022-2023, Southeast University, 2020-2024)

• Daoyong Fu (CSC visiting PhD: TU/e EE 2022-2023, Sichuan University, 2019-2023)

• Gabriele Varisco (NWO-OTP ALARM: TU/e AP, Máxima MC, Philips Research, 2018-2023)
  PhD Thesis: Monitoring the critical newborn: Towards a safe and more silent neonatal intensive care unit (co-promotor)

• Chunjiao Dong (CSC visiting PhD: TU/e EE 2022-2023, UCAS/IMECAS, 2019-2023)
  PhD Thesis: A dynamic monitoring system for epileptic seizures based on multimodal physiological features and wearable devices

• Chetanya Puri (EU-H2020 Heart-ITN: KU Leuven, Philips Research, Máxima MC, 2019-2023)
  PhD Thesis: Building personalised machine learning models in health informatics with limited datasets 

• Muhammad Awais (Fudan University, Philips Research, 2017-2021)
  PhD Thesis: Neonatal sleep classification using biomedical image processing

• Yue Sun (IMPULS2: TU/e EE, Máxima MC, Philips Research, 2016-2021)
  PhD Thesis: Video-based infant discomfort detection

• Ying Wang (NWO-OTP BrainWave: Donders Institute, TU/e EE, Kempenhaeghe, 2016-2021)
  PhD Thesis: E-health in epilepsy and Parkinsons' disease (co-promotor)

• Jan V.S.W Werth (IMPULS1: TU/e EE, Máxima MC, Philips Research, 2014-2019)
  PhD Thesis: On the automated analysis of preterm infant sleep states from electrocardiography (co-promotor)

• Lei Wang (CSC: TU/e EE, Kempenhaeghe, 2013-2018)
  PhD Thesis: EEG-based automated seizure detection in patients with intellectual disability (co-promotor)

• Shaoxiong Sun (CSC: TU/e EE, Philips Research, 2013-2018)
  PhD Thesis: On monitoring of blood pressure and pulse pressure variations in peri-operative care

EngD and MSc students supervision / co-supervision (project type, university/department/company, and year of completion are indicated)

• Ziming He (MSc TU/e AI&ES, 2026)

• Mengzhan Ye (MSc TU/e EE, 2026)

• Celine Zanders (MSc TU/e EE, imec, 2026)

• Xinchi Ma (MSc TU/e AI&ES, 2026)

• Hongbo Zhen (MSc TU/e AI&ES, 2026)

• Dengliang Zhang (MSc TU/e AI&ES, Philips ITS, 2026)

• Luyang Xie (MSc Internship TU/e M&CS, Philips ITS, 2025)

• Jerin Johny (MSc TU/e AIES, Philips ITS, 2025)

• Kareem Ghedan (EngD TU/e M&CS, Philips Grooming and Beauty, 2025)

• Aria Mostajeran Gourtani (MSc TU/e M&CS, smartQare, 2025)

• Arlette Beekman (MSc TU/e M&CS, VitalWear, 2025)

• Jorg Vestjens (MSc TU/e, 2025)

• Hongji Xu (EngD TU/e EE, Kempenhaeghe, 2023)

• Ruben Leegstra (MSc Internship TU/e EE, 2022)

• Jie Su (MSc TU/e EE, Máxima MC, 2022)

• Hoi-Fung Cheuk (MSc TU/e EE, Kempenhaeghe, 2022)

• Ilse Smits (MSc TU/e ES, UMC Utrecht, 2022)

• Hong Pan (MSc TU/e ES, Philips Research, 2020)

• Qinghua Guo (MSc Internship TU/e EE, 2020)

• Roel Montree (MSc TU/e EE, Philips Research, 2020)

• Vibhor Sharma (MSc EIT KTH & TU/e, Philips Research, 2019)

• Shuhao Que (MSc TU Delft, Philips Research, 2019)

• Jing Qin (MSc Vrije Universiteit Amsterdam, Philips Research, UMC Utrecht, 2019)

• Mengzhu Xu (MSc TU/e EE, Philips Research, 2019)

• Shijing Pu (MSc TU/e EE, UMC Utrecht, 2019)

• Alessandro Ardu (MSc Radboud University, Philips Research, 2019)

• Jiali Xie (MSc TU/e EE, Philips Research (2019)

• Hui Du (MSc TU/e EE, 2018)

• Chengcheng Guo (MSc TU/e EE, Máxima MC, 2018)

• Zheng Peng (MSc TU/e EE, Máxima MC, Philips Research, 2018)

• Yan Pan (MSc TU/e EE, Philips Research, AMC Amsterdam, 2018)

• Baoyou Chen (MSc Internship TU/e EE, Philips Research, 2018)

• Qinyi Fu (MSc TU/e EE, Philips Research, 2017)

• Yixiao Qiao (MSc TU/e EE, Philips Research, 2016)

• Marina Nano (MSc TU Delft, Philips Research, 2014)

• Xi Yang (MSc TU/e EE, Philips Research, 2014)

• Jie Yang (MSc TU/e M&CS, Philips Research, 2013)

• Xi Zhang (MSc Internship TU/e EE, 2012)